Teaching and learning sampling using computer simulation and expert systems


Book: 
Proceedings of the Third International Conference on Teaching Statistics
Authors: 
Reich, R. M., & Arvanitis, L. G.
Editors: 
Vere-Jones, D., Carlyle, S., & Dawkins, B. P.
Category: 
Volume: 
2
Pages: 
191-200
Year: 
1991
Publisher: 
International Statistical Institute
Place: 
Voorburg, Netherlands
Abstract: 

To enhance student comprehension of basic sampling concepts, Arvanities and Reich have developed a Forest Sampling Simulator (FOSS) for microcomputer (Arvanities and Reich, 1989). It has been well-documented by numerous studies that computer simulation fosters understanding of complex systems by permitting students to manipulate individual parts and observe the effects of their action on the rest of the model (Heerman, 1988). This system is described in Section 2 below. In section 3 its possible augmentation by an expert system is described, which would automatically generate the most appropriate sampling strategy for a particular situation, given the appropriate input information.

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education